ECGViewerPrelim|健康線上App不用買

ECGViewerPrelim is an educational app that helps to learn about heart signals or electrocardiogram (ECG). It generates realistic ECG signals from a well known model, ECGSyn, developed by Mcsherry et al. This app does not use any personal data or does not need to sense ECG from the user. Using this app, one can learn about the characteristics of a typical ECG signal, such as P,Q,R,S, and T waves, simulate arrhythmia and learn how it affects the ECG signal, see the effects of changing the heart rate, or the amplitude of the different waves in ECG. Overall this is an app that educates people about heart signals in a fun way.

The main features of this app are:

1. Veiw a normal default ECG

2. Start and Stop buttons for streaming control

3. Change heart rate using the slider

4. Simulate arrhythmia or heart attack

5. Change the amplitude of the different waves in ECG

The main contributor of this app is Ayan Banerjee, a PhD student at Arizona State University. The theory behind this app is documented in a paper "GeM-REM: Generative Model-driven Resource-efficient ECG Monitoring in Body Sensor Networks" by Sidharth Nabar, Ayan Banerjee, andeep K.S. Gupta, and Radha Poovendran. The icon is developed by Sushovan De.

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